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机译:压缩具有稀疏矩阵分解的深神经网络
Tsinghua Univ State Key Lab Intelligent Technol & Syst Beijing Natl Res Ctr Informat Sci & Technol BNRis Inst Artificial Intelligence THUAI Beijing 100084 Peoples R China|Tsinghua Univ Dept Automat Beijing 100084 Peoples R China;
Tsinghua Univ State Key Lab Intelligent Technol & Syst Beijing Natl Res Ctr Informat Sci & Technol BNRis Inst Artificial Intelligence THUAI Beijing 100084 Peoples R China|Tsinghua Univ Dept Automat Beijing 100084 Peoples R China|Intel Labs Cognit Comp Lab Beijing 100190 Peoples R China;
Tsinghua Univ State Key Lab Intelligent Technol & Syst Beijing Natl Res Ctr Informat Sci & Technol BNRis Inst Artificial Intelligence THUAI Beijing 100084 Peoples R China|Tsinghua Univ Dept Automat Beijing 100084 Peoples R China;
Sparse matrices; Matrices; Indexes; Neural networks; Task analysis; Bayes methods; Learning systems; Deep neural networks (DNNs); memory efficiency; network compression; sparse representation;
机译:深度神经网络压缩的稀疏低等级分解
机译:推荐系统的深度神经网络双正则化矩阵分解
机译:与卷积神经网络进行图像理解的深矩阵分解
机译:基于深度神经网络的稀疏测量矩阵的图像压缩感知
机译:压缩深神经网络的量化和结构稀疏性的联合优化
机译:通过正则化非负矩阵分解来预测稀疏标签PPI网络中的蛋白质功能特性
机译:用稀疏诱导法压缩低精度深度神经网络 三元网络中的正则化